Primary Responsibilities

- Design, develop, and maintain scalable, secure, and high-performing enterprise applications using Java, Spring Boot, React/Angular, and TypeScript
- Build and enhance microservices, RESTful APIs, and cloud-native solutions using modern software engineering practices
- Develop responsive and intuitive front-end applications leveraging React, Angular, HTML5, CSS3, and JavaScript frameworks
- Design, develop, and integrate AI/ML-enabled features including intelligent automation, predictive analytics, recommendation engines, and Generative AI solutions
- Collaborate with product managers, architects, data scientists, and engineering teams to translate business requirements into scalable technical solutions
- Develop and consume APIs for seamless integration with enterprise systems, third-party platforms, and AI/ML services
- Implement secure coding standards, application monitoring, performance tuning, and scalability improvements
- Build and deploy applications on cloud platforms such as Azure, AWS, or GCP, utilizing containerization and Kubernetes
- Participate in architecture reviews, technical design discussions, and engineering best practice initiatives
- Support CI/CD pipelines, DevOps automation, infrastructure-as-code, and deployment optimization activities
- Work closely with AI/ML engineers to operationalize machine learning models and deploy AI services into production environments
- Leverage Large Language Models (LLMs), GenAI frameworks, prompt engineering techniques, and AI orchestration platforms to build intelligent solutions
- Troubleshoot production issues, perform root cause analysis, and ensure platform reliability and availability
- Mentor junior engineers and contribute to a culture of innovation, technical excellence,



and continuous improvement
- Drive adoption of emerging technologies, AI-powered development tools, and modern software engineering practices
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and versatile work arrangements

Required Qualifications
- Bachelor's or master's degree in computer science, Engineering, Information Technology, or a related field
- 7+ years of experience in Full Stack Application Development
- Hands-on experience with React or Angular, TypeScript, JavaScript, HTML5, and CSS3
- Hands-on experience with Docker, Kubernetes, Git, Jenkins, Azure DevOps, GitHub Actions, or equivalent CI/CD tools
- Experience designing and developing RESTful APIs and event-driven architectures
- Experience with relational and NoSQL databases such as SQL Server, PostgreSQL, Oracle, MongoDB, or Cosmos DB
- Experience integrating AI/ML services, cognitive APIs, or machine learning models into enterprise applications
- Experience working in Agile/Scrum environments and collaborating with cross-functional teams
- Solid experience in Java 8/11/17, Spring Boot, Spring Cloud, Hibernate, and Microservices Architecture
- Knowledge of software design patterns, object-oriented principles, and secure coding practices
- Understanding of Generative AI concepts, LLMs, RAG (Retrieval-Augmented Generation), Vector Databases, and Prompt Engineering
- Solid understanding of cloud-native development across Azure, AWS, or Google Cloud Platform
- Familiarity with Python and AI/ML ecosystems such as Scikit-learn, TensorFlow, PyTorch, or Azure AI Services
- Demonstrated solid analytical, problem-solving, communication, and stakeholder management skills

📌 Software Engineering Lead (Hyderabad)
🏢 Optum
📍 Hyderabad